AI & Applied Engineering
Forward Deployed Engineering
Learn to build, deploy and support customer-facing AI systems as an enterprise AI engineer.
Fee on enquiryDiscussed after intro call
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Live, small-batch programmes in AI engineering, data science, full-stack development, cloud and quality engineering. Built around Indian working hours and designed for professionals with 2+ years of experience.
A course adviser will call you within one working day.
We map your current role to the AI and tech paths that make the most sense.
Move toward Enterprise AI Engineer and Forward Deployed Engineer roles.
For: Java, Python, .NET backend developersBuild toward applied AI engineering and ML engineering work.
For: Data analysts, BI developers, data engineersPrepare for AI platform, LLMOps and observability roles.
For: Cloud engineers, DevOps engineers, SREsTransition into AI application testing, delivery and support engineering.
For: QA engineers, support engineers, technical consultantsEach programme is live, mentor-led and project-based.
Learn to build, deploy and support customer-facing AI systems as an enterprise AI engineer.
Ship AI features inside real products: LLM APIs, agents, evals and production patterns.
Move from data analysis to predictive modelling, ML pipelines and model deployment.
Build modern web products with React, Node.js, Next.js and system-design fundamentals.
Deploy, monitor and scale systems on AWS with Docker, Kubernetes and CI/CD.
Turn raw data into decisions: SQL, Power BI, dashboards and business storytelling.
Ask questions live, get feedback on your actual work and never sit muted in a large cohort.
Your mentors are working engineers and AI leaders from enterprise environments, not full-time lecturers.
We start from your current role and strengths, then build a path to the AI or tech role that fits.
Every programme ends with projects and code you can explain in interviews and use on the job.
Weekly mock interviews, resume reviews and offer negotiation guidance during the programme.
Recordings, notes and project templates stay with you after the programme ends.
Now Director of AI at Leading MNC
A clear guide to what FDEs own, how the role differs from adjacent engineering jobs and what strong delivery looks like in practice.
Read article →Follow the work across discovery, build, rollout and stabilisation, with realistic daily schedules and practical delivery artifacts.
Read article →How to move from your current role into full-stack product engineering without starting from scratch.
Read article →Book a free 15-minute introductory call. We will understand your background, recommend a learning path and explain the fee structure — no pressure.
Tell us your background and target role. We will understand where you are and recommend a learning path — no payment needed.
Tell us your team size and skill goals. You will receive a proposal with curriculum, schedule and pricing within 48 hours.